Nipun Gunawardena
Staff Scientist at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
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Senior🎓
Top SchoolNipun Gunawardena is a Staff Scientist with 14 years of cross-disciplinary experience applying machine learning, embedded systems, and experimental fieldwork to earth science and environmental problems. Trained as a mechanical engineer with a PhD, he has built low-power sensing hardware, developed parallel and scientific software in C++/Python, and deployed atmospheric sensing networks used in international experiments. At Lawrence Livermore National Laboratory he leads data-driven projects spanning atmospheric dispersion, source inversion, wind energy, and wildfire modeling, and has presented work at international venues. He also brings applied data science experience from voter analytics and a stint developing a Python data library for heterogeneous treatment effect estimation. Comfortable at the intersection of hardware, software, and analytics, he emphasizes quality and reproducibility, with several open-source designs and high-performance algorithms originating from his research. Based in Livermore, CA, he blends hands-on engineering with operational deployment experience in challenging field conditions.
14 years of coding experience
5 years of employment as a software developer
The University of Utah
Spanish
Github Skills (32)
plug10
vundle10
environmental-monitoring9
statistics9
arduino-library9
data-analysis8
python8
machine-learning8
neovim8
vim-plugin8
environmental8
data-science7
vim7
scikit7
comparator7
Programming languages (3)
Github contributions (5)
madvoid/Nowcasting_Meteorological_Variables
Jan 2019 - Jan 2022
Contributions:1 release, 5 pushes, 1 branch in 3 years 1 month
madvoid/LEMS
Mar 2012 - Oct 2016
Contributions:30 commits, 5 pushes, 2 branches in 4 years 8 months
sensorlems
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